An automatic analyzer for sports video databases using visual cues and real-world modeling

Jungong Han, D.S. Farin, P.H.N. With, de, Weilun Lao

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)
104 Downloads (Pure)


With the advent of hard-disk video recording, video databases gradually emerge for consumer applications. The large capacity of disks requires the need for fast storage and retrieval functions. We propose a semantic analyzer for sports video, which is able to automatically extract and analyze key events, such as player behavior. The analyzer employs several visual cues and a model for real-world coordinates, so that speed and position of a player can be determined with sufficient accuracy. It consists of four processing steps: (1) playing event detection, (2) court and player segmentation, as well as a 3-D camera model, (3) player tracking, and (4) event-based high-level analysis exploiting visual cues extracted in the real-world. We show attractive experimental results remarking the system efficiency and classification skills.
Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Consumer Electronics, ICCE '06, 7-11 January 2006, Las Vegas, Nevada
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Print)0-7803-9459-3
Publication statusPublished - 2006


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